Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Variable Momentum Controlled by Equalizer Energy based CMA Blind Equalization

Authors
Jinyu Sun, Ying Xiao
Corresponding Author
Jinyu Sun
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.239How to use a DOI?
Keywords
blind equalization; CMA; momentum; underwater acoustic channel
Abstract
To further improve the performance of CMA blind equalization, an improved algorithm with variable momentum controlled by equalizer weights energy was proposed. The momentum gradient algorithm can improve the convergence rate effectively. However the additional gradient noise would produce by momentum, which results in high steady state residual error after convergence. Hereby, a variable momentum algorithm is designed according to the equalizer weights energy, which the momentum factor adjusted needs no empirical parameters during the iterative process. Therefore, the proposed algorithm is more universal than the other adaptive momentum algorithms. The variable momentum controlled by equalizer weights energy not only can take advantage of the momentum gradient algorithm to improve the convergence rate, but also can avoid the additional gradient noise produce by momentum for CMA blind equalization, and the effectiveness is shown by computer simulation under underwater acoustic channel condition.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.239How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jinyu Sun
AU  - Ying Xiao
PY  - 2016/03
DA  - 2016/03
TI  - Variable Momentum Controlled by Equalizer Energy based CMA Blind Equalization
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1215
EP  - 1220
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.239
DO  - https://doi.org/10.2991/icmmct-16.2016.239
ID  - Sun2016/03
ER  -